Age Estimation CNN (Demo)

Matlab Demo source code for the paper:

Age estimation based on face images and pre-trained Convolutional Neural Networks, 
2017 IEEE Symp. on Computational Intelligence for Security and Defense Applications (CISDA 2017),
Honolulu, HI, USA, November 27–30, 2017

Paper:

https://ieeexplore.ieee.org/document/8285381

Project page:

http://iebil.di.unimi.it/projects/softbio

Source code:

https://github.com/AngeloUNIMI/AgeEstimationCNN

Citation:

@INPROCEEDINGS{8285381,
    author={A. {Anand} and R. {Donida Labati} and A. {Genovese} and E. {Muñoz} and V. {Piuri} and F. {Scotti}},
    booktitle={2017 IEEE Symposium Series on Computational Intelligence (SSCI)},
    title={Age estimation based on face images and pre-trained convolutional neural networks},
    year={2017},
    pages={1-7},
    doi={10.1109/SSCI.2017.8285381},
    month={Nov},}

Main files:

- launch_ageEstimation_demo: main file

Required files

- \results\AgeDB\pca.mat
if not downloaded by Github LFS, download at:
https://drive.google.com/open?id=14eiuSH0n8oXlv-muHeA19RkxykPuQzVu

- \results\AgeDB\PCA30DB_Results_CONCAT.mat
if not downloaded by Github LFS, download at:
https://drive.google.com/open?id=1lPglz7ilE2DNIel_ISSeinPDnygreJA-

Part of the code uses the Matlab source code of matconvnet:

http://www.vlfeat.org/matconvnet/

@inproceedings{vedaldi15matconvnet,
  author    = {A. Vedaldi and K. Lenc},
  title     = {MatConvNet -- Convolutional Neural Networks for MATLAB},
  booktitle = {Proceeding of the {ACM} Int. Conf. on Multimedia},
  year      = {2015},
}